2 papers
stat.ME2020
Leave-One-Out Cross-Validation for Bayesian Model Comparison in Large Data
Måns Magnusson, Michael Riis Andersen, Johan Jonasson +1
Recently, new methods for model assessment, based on subsampling and posterior approximations, have been proposed for scaling leave-one-out cross-validation (LOO) to large datasets…
stat.ML2019
Sparse Parallel Training of Hierarchical Dirichlet Process Topic Models
Alexander Terenin, Måns Magnusson, Leif Jonsson
To scale non-parametric extensions of probabilistic topic models such as Latent Dirichlet allocation to larger data sets, practitioners rely increasingly on parallel and distribute…